A structural analysis of framed structures using the finite element method considering both the Bernoulli- Euler and the Timoshenko beam theories can be performed adopting cubic interpolation ...

A robust and user-friendly scientific calculator application built with Python's Tkinter for the graphical interface and NumPy for powerful numerical and matrix operations. This project aims to ...

Abstract: Traditional deep learning models for hyperspectral image (HSI) classification are limited by static activation functions and linear weights, hindering the extraction of complex features ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Arrow Up and Graph Chart bl Abstract growth graph chart with launch rocket on technology blue background. Startup and success business concept. Boost metaphor in futuristic light blue style. Low poly ...

Abstract: The choice of activation functions is crucial to deep neural networks. ReLU is a popular hand-designed activation function. Swish, the automatically searched activation function, outperforms ...

Linear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics beyond the ...

When it comes to teaching mathematics to students, identifying different types of functions can be a challenging task. Two of the most common types of functions encountered in high school math are ...